INTRODUCTION
About Graduate School Dean's Welcome Educational Goal & Vision History
DEPARTMENT
Department of AI and Public Policy Department of Industrial Information Systems Department of Media & Contents Policy Department of Digital & Cultural Policy Department of IT Design Convergence
ACADEMIC AFFAIRS
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ADMISSION
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Department of Industrial Information Systems
Department of Industrial Information Systems
홈 영문-IT정책전문대학원 DEPARTMENT Department of Industrial Information Systems Introduction
The Department of Industrial & Information Systems is committed to training the talents needed for the Fourth Industrial Revolution, who are equipped with a strategic evaluation of IT-related emerging technologies and effective IT management based on mathematics. such as stochastics. They will be data scientists, information and communication technology management and strategic evaluation experts, technology-based business and industrial system analysts, and corporate COOs and CIOs after graduation.
Educational Objectives
Education focuses on cultivating new theories and management skills in the field of information and communication. The curriculum is divided into two sub-areas: technical and managerial perspectives. From a technical perspective, it provides knowledge of IT system analysis and big data analysis. From a managerial perspective, it conducts education on industrial system analysis and business system analysis.
  • - IT System Analysis: knowledge for efficient operation and evaluation of information and communication systems
  • - Big Data Analysis: knowledge to understand and utilize big data analytics
  • - Industrial System Analysis: knowledge for efficient operation of industrial systems
  • - Business System Analysis: knowledge for planning and evaluation of business and management systems as a whole
Technical Perspective Managerial Perspective
IT System Analysis Big Data Analysis Industrial System Analysis Business System Analysis
  • - IT Project Management
  • - Management Information Systems
  • - Data Base Management Systems
  • - Data Communication
  • - User Experience Analysis
  • - Software Engineering
  • - Information Security
  • - Telecommunication Technology Systems
  • - Artificial Intelligence
  • - Multivariate Statistical Analysis
  • - Data Visualization
  • - Data Mining
  • - Introduction to Deep Learning and its Applications
  • - Big Data Storage and Management
  • - Social Nework Analysis
  • - Text Data Analysis
  • - Statistics and Research Methods
  • - Meta Heuristic
  • - System Modeling and Simulation
  • - Decision Analysis
  • - Techno-Economic Assessment for Information Technology
  • - Optimization Methods
  • - IT cost analysis methodology
  • - Engineering Economy
  • - Technology Management
  • - Advanced Technology Policy
  • - Advanced Service Management
  • - Investment Science and Engineering
  • - Accounting Information and IT Policy
  • - Fintech and Regulation
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